You can see it againUnder pressure people bring back shapes and positions long after the wording has gone.
Picture superiority · Shepard 1967, Standing 1973
ISTQBCertified Tester Testing with Generative AI
The ISTQB Certified Tester – Testing with Generative AI (CT-GenAI) certification equips testing and quality-engineering professionals with the knowledge to apply Large Language Models (LLMs) and generative AI across the entire testing lifecycle. From prompt engineering and risk management to integrating AI-powered test infrastructure, this specialist credential prepares you to drive responsible, AI-assisted quality assurance in your organization.
Duration60 minutes
DeliveryISTQB Member Boards
Passing score30 (65%)
Free questions858
Content last reviewed 30 July 2026 · Up to date
The certification
What Certified Tester Testing with Generative AI proves, and what it asks of you
What this certification covers, who it is written for, and what the exam itself looks like on the day.
5domains
31objectives
233concepts
What it is
What this certification is
What it validates, who it is written for, and the experience it assumes.
About this certification
The ISTQB Certified Tester – Testing with Generative AI (CT-GenAI) certification is a specialist-level credential that builds on the Foundation Level to provide testing and quality-engineering professionals with a comprehensive, market-aligned learning path for effectively applying Large Language Models (LLMs) and Generative AI techniques across the entire testing lifecycle — from requirements analysis and test design to automation, reporting, and continuous improvement.
The syllabus places strong emphasis on real-world industry applications, advanced prompt-engineering practices, and emerging AI-assisted testing use cases. It equips testers with practical strategies for responsible AI adoption, including the management of risks such as hallucinations, bias, security, privacy, and environmental impact, ensuring that quality remains a cornerstone in an AI-driven world.
Who it’s for
This certification is intended for anyone involved in using generative AI for software testing, including testers, test analysts, test automation engineers, test managers, user-acceptance testers, and software developers. It is equally valuable for professionals who need a solid understanding of GenAI in testing, such as project managers, quality managers, software development managers, business analysts, IT directors, and consultants.
Recommended experience
While there is no formal experience requirement beyond the CTFL prerequisite, a background in software testing and an understanding of the testing lifecycle will help candidates grasp the advanced concepts of applying generative AI. Familiarity with fundamental software testing concepts as covered in the ISTQB Foundation Level syllabus; Practical experience in test analysis, design, and automation; An interest in exploring how AI and Large Language Models can be applied to testing
The syllabus
What you’ll learn
Every domain and objective ISTQB measures, with the weight they carry on the exam.
The official ISTQB exam outline · checked 30 July 2026 · See the source
Introduction to Generative AI for Software Testing
- Basics of Generative AI and LLMs
- Foundation, Instruction-Tuned and Reasoning LLMs
- Multimodal LLMs and Vision-Language Models
- Key LLM Capabilities for Test Tasks
- AI Chatbots and LLM-Powered Testing Applications for Software Testing
Prompt Engineering for Effective Software Testing
- Structure of Prompts for Generative AI in Software Testing
- Core Prompting Techniques for Software Testing
- System Prompt and User Prompt
- Test Analysis with Generative AI
- Test Design and Test Implementation with Generative AI
- Automated Regression Testing with Generative AI
- Test Monitoring and Test Control with Generative AI
- Metrics for Evaluating the Results of Generative AI on Test tasks
- Techniques for Evaluating and Iteratively Refining Prompts
Managing Risks of Generative AI in Software Testing
- Identify Hallucinations, Reasoning Errors and Biases in LLM Output
- Mitigation of Non-Deterministic Behavior of LLMs
- Data Privacy and Security Risks Associated with Using Generative AI
- The Impact of Using GenAI on Energy Consumption and CO2 Emissions
- AI Regulations, Standards and Frameworks Relevant to GenAI in Software Testing
LLM-Powered Test Infrastructure for Software Testing
- Key Architectural Components and Concepts of LLM-Powered Test Infrastructure
- Retrieval-Augmented Generation
- The Role of LLM-Powered Agents in Automating Test processes
- Fine-Tuning LLMs for Test tasks
- LLMOps when Deploying and Managing LLMs for Software Testing
Deploying and Integrating Generative AI in Test organizations
- Risks of Shadow AI
- Key Aspects of a Generative AI Strategy in Software Testing
- Selecting LLMs/SLMs for Software Test Tasks
- Phases when Adopting Generative AI in Software Testing
- Essential Skills and Knowledge for Testing with Generative AI
- Building Generative AI Capabilities in Test Teams
- Evolving Test Processes in AI-Enabled Test organizations
On the day
The exam itself
Everything ISTQB publishes about sitting it, and nothing we inferred.
Prerequisites
Must hold the ISTQB Certified Tester Foundation Level (CTFL) certification.
CertificationCertified Tester Testing with Generative AI
Duration60 minutes
Questions40 questions
Passing score30 (65%)
DeliveryISTQB Member Boards
After you pass
Where this credential goes next
The path ISTQB lays out, how the credential is kept, and where to book.
Step-by-step path to Certified Tester Testing with Generative AI
PrerequisiteMust hold the ISTQB Certified Tester Foundation Level (CTFL) certification.
Credential earnedCertified Tester Testing with Generative AI Certification Renewal and maintenance
ISTQB certifications do not require renewal except for Expert Level. Stay current with the latest technologies and maintain your certification.
Learn more about renewal requirements Lifecycle status
This certification is currently active and available. ISTQB maintains this certification to validate current skills and industry relevance.
Exam status: ActiveMaintained by ISTQB
Exam registration
Register for the exam through ISTQB Member Boards, ISTQB’s authorized testing partner.
Schedule your examVisit the official ISTQB certification page for exam policies and requirements.
View the official pageYour coach
And when you are serious, your coach Pip takes over
Your coach in the app reads what you have answered with the book closed and tells you one thing to do tonight. It will not count an answer you gave with the page open, and it will tell you when you are not ready.
See how the coach worksBefore you book
Questions people ask
How does CT-GenAI relate to the ISTQB AI Testing (CT-AI) certification?
CT-GenAI is a specialist certification focused specifically on the application of generative AI and Large Language Models (LLMs) in software testing. CT-AI covers a broader scope of AI and deep learning testing. CT-GenAI extends the Foundation Level and provides testing and engineering professionals with practical knowledge for leveraging GenAI technologies.
Is the CTFL certification a mandatory prerequisite for CT-GenAI?
Yes. Before taking the CT-GenAI exam, you must be certified as an ISTQB Certified Tester Foundation Level (CTFL). This is a formal requirement, not just a recommendation.
Does the CT-GenAI exam include a hands-on or lab-based component?
The official exam structure lists 40 questions with a total of 46 points and a duration of 60 minutes. The published structure does not mention a separate hands-on or lab-based component.
What is the retake policy if I fail the CT-GenAI exam?
The official source does not specify a retake policy for the CT-GenAI exam. Candidates should contact their local ISTQB Member Board or Exam Provider for details on retake policies and waiting periods.
What job roles does the CT-GenAI certification map to?
The certification is designed for testers, test automation engineers, test managers, developers, and IT leaders who are ready to embrace AI-driven quality assurance practices. It is also valuable for project managers, quality managers, business analysts, and IT directors who need a solid understanding of GenAI in testing.
Can I continue to higher-level ISTQB certifications after earning CT-GenAI?
Yes. CT-GenAI holders can continue along the ISTQB scheme to Core Advanced modules (Test Analyst, Technical Test Analyst, Test Manager, Test Engineering) and, later, Expert Level certifications.
Is the CT-GenAI exam available in my region?
Certification exams for CT-GenAI are available through ISTQB Member Boards. You should contact your local Member Board or find an exam provider through the ISTQB website to check regional availability and delivery options.
Information freshness · Content last reviewed on 2026-07-30 Up to date
Practice free questions 858 questions, free, no account needed.
The curriculum
The whole exam, mapped and written
Every domain, every objective, and every concept ISTQB measures — each one written out.
5domains
31objectives
233concepts
186free pages
The domains, and what sits inside them
Every objective below is a page you can open and practise now, without an account.
The official ISTQB exam outline · checked 30 July 2026 · See the source
1Introduction to Generative AI for Software Testing100 questions
Basics of Generative AI and LLMs7 concepts · 6 pagesOpen →Foundation, Instruction-Tuned and Reasoning LLMs4 concepts · 3 pagesOpen →Multimodal LLMs and Vision-Language Models5 concepts · 5 pagesOpen →Key LLM Capabilities for Test Tasks8 concepts · 3 pagesOpen →AI Chatbots and LLM-Powered Testing Applications for Software Testing4 concepts · 5 pagesOpen →
2Prompt Engineering for Effective Software Testing254 questions
Structure of Prompts for Generative AI in Software Testing10 concepts · 6 pagesOpen →Core Prompting Techniques for Software Testing7 concepts · 5 pagesOpen →System Prompt and User Prompt8 concepts · 5 pagesOpen →Test Analysis with Generative AI8 concepts · 6 pagesOpen →Test Design and Test Implementation with Generative AI8 concepts · 7 pagesOpen →Automated Regression Testing with Generative AI10 concepts · 8 pagesOpen →Test Monitoring and Test Control with Generative AI6 concepts · 5 pagesOpen →Metrics for Evaluating the Results of Generative AI on Test tasks9 concepts · 7 pagesOpen →Techniques for Evaluating and Iteratively Refining Prompts8 concepts · 7 pagesOpen →
3Managing Risks of Generative AI in Software Testing151 questions
Identify Hallucinations, Reasoning Errors and Biases in LLM Output12 concepts · 8 pagesOpen →Mitigation of Non-Deterministic Behavior of LLMs10 concepts · 7 pagesOpen →Data Privacy and Security Risks Associated with Using Generative AI8 concepts · 7 pagesOpen →The Impact of Using GenAI on Energy Consumption and CO2 Emissions4 concepts · 4 pagesOpen →AI Regulations, Standards and Frameworks Relevant to GenAI in Software Testing9 concepts · 6 pagesOpen →
4LLM-Powered Test Infrastructure for Software Testing152 questions
Key Architectural Components and Concepts of LLM-Powered Test Infrastructure6 concepts · 6 pagesOpen →Retrieval-Augmented Generation7 concepts · 6 pagesOpen →The Role of LLM-Powered Agents in Automating Test processes8 concepts · 7 pagesOpen →Fine-Tuning LLMs for Test tasks6 concepts · 6 pagesOpen →LLMOps when Deploying and Managing LLMs for Software Testing11 concepts · 8 pagesOpen →
5Deploying and Integrating Generative AI in Test organizations201 questions
Risks of Shadow AI3 concepts · 4 pagesOpen →Key Aspects of a Generative AI Strategy in Software Testing8 concepts · 6 pagesOpen →Selecting LLMs/SLMs for Software Test Tasks10 concepts · 6 pagesOpen →Phases when Adopting Generative AI in Software Testing5 concepts · 6 pagesOpen →Essential Skills and Knowledge for Testing with Generative AI10 concepts · 8 pagesOpen →Building Generative AI Capabilities in Test Teams6 concepts · 6 pagesOpen →Evolving Test Processes in AI-Enabled Test organizations8 concepts · 7 pagesOpen →
Not a table of contents
Every line on this map already opens
In front of every objective the practice pages are already there, free and without an account. This is one objective, opened.
Basics of Generative AI and LLMs6 pagesOpen →
Free in front of it
30 questions on this objective, five to a page. Every range above is a real page, open now, with no account.
Reading the map is not the same as knowing the ground
The curriculum tells you what is on the exam. Proving you know it is a different job — and it is the one the closed-book run does.
Free questions
858 questions. No account, no card.
The whole bank is open. 5 questions to a page, every answer explained, and a discussion thread on each one.
858questions
186pages
31objectives
Freealways
Browse by domain
Every objective, and every page range, is a link — so you can pick up exactly where you left off.
1Introduction to Generative AI for Software Testing100 questions
2Prompt Engineering for Effective Software Testing254 questions
3Managing Risks of Generative AI in Software Testing151 questions
4LLM-Powered Test Infrastructure for Software Testing152 questions
5Deploying and Integrating Generative AI in Test organizations201 questions
What a practice page gives you
1Five to a page
Short enough to finish, long enough to matter.
2Every answer explained
Not only which one is right — why the others are wrong.
3A discussion on each
Ask, answer, and vote. Every question has its own thread.
A question, and the idea behind it
Every question comes from a concept
These are not trivia. Each one is written against a concept in the book, so when you get one wrong there is somewhere to go and find out why.
The visual book
See it once. Carry it into the exam.
The pages shown here come from our AI-900 book — an example of how each concept is written in plain language and, where the idea needs one, drawn as a full page you can take in at a glance.
233concepts
858free questions
Why a picture, and not another paragraph
Three reasons, and each one is a real finding rather than a slogan.
You can see it againThe whole idea at onceWhere it starts, what happens in the middle, what comes out, and the mistake to avoid.
Multimedia principle · MayerThe look-alikes sit togetherThe pairs the exam tests are drawn side by side, so the difference is seen, not told.
Dual coding · PaivioWhat one page is made of
You are never asked to read a poster here — only to see how one is built. After that, every other page is legible at a glance.
1A numbered strip on top
The idea as a sequence, followed with a finger before a word is read.
2Panels for the parts
What it is, how the machine learns it, when it is the right tool.
3The trap, framed
The distinction the exam tests, given its own box instead of buried in prose.
4One line at the bottom
The sentence to carry into the exam room.
Open book, on purpose
Answer it with the picture beside you
This is the part that teaches. The illustration and the written explanation stay where they are while you work, so a scenario stops being a memory test and becomes something you can simply look at.
It teaches · it does not count
A smartphone uses AI to unlock when the owner looks at the camera. Which AI capability is being used?
AImage classification
BFacial recognition
COptical character recognition
DObject detection
Look at the five steps. Detect finds a face, align straightens it, encode turns it into numbers, search compares it with a stored face, and decide answers one question: is this the same person? Classification would only say “a face”. Detection would only draw a box. Neither decides whose.
Then the page shuts, and it starts counting
The same questions come back with the book closed — that run is the one that counts. After it, your coach picks one thing for tonight, sized to the time you have, and brings pages back before you lose them.
Testing effect · Roediger & Karpicke 2006 · spacing effect · Cepeda et al. 2006
Official resources
Straight from ISTQB
Where the exam is defined, scheduled and scored.
4official links
233concepts mapped
The source
ISTQB’s own pages
We link to them rather than repeat them, so nothing here goes stale behind them.
Checked against the source
Every objective on the official ISTQB outline already has questions here
We build from the official skills outline, not from a summary of it — 31 objectives, 233 concepts written under them, and free questions against every one. When ISTQB changes the outline, this page changes with it.
31objectives on the outline→233concepts written→858free questions
An official page tells you what will be asked. It cannot tell you what you will get right.
That is the only question worth answering the night before, and no link answers it. You answer it by taking the questions with the book closed, and seeing what comes back.